Real-Time Football Analysis with StreamTeam: Demo

Probst, Lukas and Brix, Frederik and Schuldt, Heiko and Rumo, Martin. (2017) Real-Time Football Analysis with StreamTeam: Demo. In: Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems (DEBS 2017). New York, NY, pp. 319-322.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/58200/

Downloads: Statistics Overview


In the last years, the analysis of data in sports has received considerable attention, especially due to the wide availability of unobtrusive wearable sensors. While most approaches focus on the (post-hoc) monitoring of individuals, a big and still largely unsolved challenge is the monitoring of the tactical behavior and tactical compliance of entire teams in real-time. In this paper, we introduce StreamTeam, a novel and extensible workflow-based approach to analyze data streams and to detect complex team events in real-time. We show the application of StreamTeam to data sets coming from sensors attached to players of football teams.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Schuldt, Heiko and Probst, Lukas and Brix, Frederik
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Note:Publication type according to Uni Basel Research Database: Conference paper
Related URLs:
Identification Number:
Last Modified:20 Mar 2018 14:16
Deposited On:20 Mar 2018 14:16

Repository Staff Only: item control page